Abstract: Class imbalance occurs frequently in machine learning, particularly in binary classification tasks where the majority class has a significantly larger number of samples than the minority ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Abstract: This paper presents nonlinear optimal classification trees, an advanced approach developed to enhance the accuracy and interpretability of classification trees. By integrating kernel-based ...